Heterogeneity in Production Structures and Efficiency: An Analysis of the Czech Food Processing Industry

The present study analyses firm heterogeneity and sector‐specific technology. The theoretical model stands on the assumption of maximizing the return on capital and overcomes problems involved in simple profit maximization. The results show that a random parameter model with sector dummies and heteroscedasticity is the most appropriate model specification for distinguishing firm‐level and sector‐level efficiency and heterogeneity. The heterogeneity among firms as well as among sectors was found to be an important characteristic in Czech food processing. This holds for production technology as well as for technical efficiency. Moreover, the decomposition of total variance shows that intrasectoral differences in technologies are much more pronounced than the intersectoral differences. The differences in intrasector heterogeneity also suggest that the food processing industry will be subject to accelerated structural change in the coming years. Moreover, we found that on average the companies highly exploit their production possibilities. However, some companies cannot keep pace with competitors. Because leapfrogging does not appear to be present in selected industries (except for Milling), structural change is expected to occur in such a way that the most successful companies will strengthen their position.     

Country Differences in Material Deprivation in Europe

This paper assesses to what extent differences in the characteristics of individuals (micro‐level perspective) and country‐specific factors (macro‐level perspective) can explain country differences with respect to material deprivation levels. Thus, our work aims to simultaneously consider the macro dimension and the predominantly individually‐oriented study field of material deprivation using multilevel techniques. We make use of the European Union Statistics on Income and Living Conditions. Our results show that country‐specific factors seem to be much more relevant than individual effects in explaining country differences in material deprivation. We estimate that the introduction of country‐specific factors reduces the proportion of total variance due to between‐country differences in deprivation by 72.7 percent, while individual‐level variables reduce this proportion by only 9.4 percent. We also show, through interaction variables, that the effect of sociodemographic characteristics can be shaped by institutional and structural factors, especially by the level of GDP.     

Information and Investor Behavior Surrounding Earnings Announcements

The goal of this paper is to analyze the impact of annual earnings announcements on the market through the order flow data in addition to the usual transaction data. In this respect, examining order flow data can potentially reveal valuable information that is not available from transaction data. In fact, the data allow us to test hypotheses about asymmetric information and investor behavior and to test if the behavior varies with investor sophistication. In addition, the paper tries to identify the determinants of the impact on a firm's value using assumptions about investor behavior.     

REPORTING GUIDELINES FOR META-ANALYSIS IN ECONOMICS

Meta-analysis has become the conventional approach to synthesizing the results of empirical economics research. To further improve the transparency and replicability of the reported results and to raise the quality of meta-analyses, the Meta-Analysis of Economics Research Network has updated the reporting guidelines that were published by this Journal in 2013. Future meta-analyses in economics will be expected to follow these updated guidelines or give valid reasons why a meta-analysis should deviate from them.     

Against a General Theory of Populism: The Case of East-Central Europe

Intereconomics - Social science, like all other sciences, is supposed to explore the substance below the surface of things. However, populism discourse in general is stuck on the surface, focusing...     

Instrumental measurement of the cognitive and emotional background of deception

Quality & Quantity - The aim of this study is to instrumentally explore the cognitive and emotional load behind deception. According to literature, the cognitive and emotional load comprises of...     

A city of trades: Spanish and Italian immigrants in late-nineteenth-century Buenos Aires,Argentina

The city of Buenos Aires in the 1890s is an extreme case in immigration history since the native workers accounted for less than one-third of the labour force. In this paper, we look at the labour market performance of Argentineans vis-à-vis the largest two immigrant groups, Italians and the Spaniards. We find that, on average, Argentineans enjoyed higher wages, but workers specialised in particular occupations by nationality. Immigrants clustered in occupations with lower salaries. Despite higher literacy levels and the language advantage, Spaniards did not outperform Italians in earnings. Ethnic networks facilitated the integration of immigrants into the host society and played a role in the occupation selection of immigrants. Our results suggest that Italian prosperity in Buenos Aires was not based on superior earnings or skills but on older and powerful networks.     

Tests of Normality of Functional Data

The paper is concerned with testing normality in samples of curves and error curves estimated from functional regression models. We propose a general paradigm based on the application of multivariate normality tests to vectors of functional principal components scores. We examine finite sample performance of a number of such tests and select the best performing tests. We apply them to several extensively used functional data sets and determine which can be treated as normal, possibly after a suitable transformation. We also offer practical guidance on software implementations of all tests we study and develop large sample justification for tests based on sample skewness and kurtosis of functional principal component scores.